Model:GIPL: Difference between revisions

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|Country=US
|Country=US
|Email address=eejafarov@alaska.edu
|Email address=eejafarov@alaska.edu
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{{Model identity
|Model type=Single
|Model type=Single
|Categories=Model domain, Terrestrial
|Categories=Model domain, Terrestrial
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|Supported platforms=Unix, Linux, Windows
|Supported platforms=Unix, Linux, Windows
|Programming language=Fortran90, Matlab
|Programming language=Fortran90, Matlab
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|IRF interface=No not possible
|IRF interface=No not possible
|Typical run time=it takes less than a minite to run the serial model for one with daily time interval
|Typical run time=it takes less than a minite to run the serial model for one with daily time interval
}} {{Input - Output description
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{{Input - Output description
|Describe input parameters=Upper Boundary (Air temperature)
|Describe input parameters=Upper Boundary (Air temperature)
Lower Boundary (Temperature gradient)
Lower Boundary (Temperature gradient)
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|If above answer is yes=ESRI, Matlab
|If above answer is yes=ESRI, Matlab
|Other visualization software=Matlab, Microsoft Excel (for serial); Matlab, ARCGIS, ncview (for spatial model)
|Other visualization software=Matlab, Microsoft Excel (for serial); Matlab, ARCGIS, ncview (for spatial model)
}} {{Process description model
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{{Process description model
|Describe processes represented by the model=Main purpose of the model is to calculate subsurface temperature profile, active layer depth and freeze-up day.
|Describe processes represented by the model=Main purpose of the model is to calculate subsurface temperature profile, active layer depth and freeze-up day.
|Describe key physical parameters and equations=Thermal capacities and conductivities prescribed for each subsurface layer, volumetric water content and unfrozen water coefficients.
|Describe key physical parameters and equations=Thermal capacities and conductivities prescribed for each subsurface layer, volumetric water content and unfrozen water coefficients.
}} {{Model testing
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{{Model testing
|Describe available calibration data sets=We have tested the model for different permafrost observation sites for Alaska(USA) and Siberia(Russia). Typically, the model results show good correlation with measured data (if observations are accurate).
|Describe available calibration data sets=We have tested the model for different permafrost observation sites for Alaska(USA) and Siberia(Russia). Typically, the model results show good correlation with measured data (if observations are accurate).
}} {{Users groups model}} {{Documentation model
|Model calibration data=Sample.zip,
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{{Users groups model}}
{{Documentation model
|Manual model available=No
|Manual model available=No
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== Introduction ==
== Introduction ==

Revision as of 18:27, 19 May 2010

Contact

Name Elchin Jafarov
Type of contact
Institute / Organization Univ. of Alaska Fairbanks
Postal address 1
Postal address 2
Town / City Fairbanks
Postal code 99775
State Alaska
Country US"US" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Country" property.
Email address eejafarov@alaska.edu
Phone
Fax



GIPL


Metadata

Summary

Also known as
Model type Single
Model part of larger framework
Note on status model
Date note status model

Technical specs

Supported platforms
Unix, Linux, Windows
Other platform
Programming language

Fortran90, Matlab

Other program language
Code optimized Single Processor, Parallel

Computing"Parallel </br>Computing" is not in the list (Single Processor, Multiple Processors) of allowed values for the "Code optimized" property.

Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development 2000
Does model development still take place? Yes
If above answer is no, provide end year model development
Code development status
When did you indicate the 'code development status'?
Model availability As executable"As executable" is not in the list (As code, As teaching tool) of allowed values for the "Model availability" property.
Source code availability
(Or provide future intension)
Through owner"Through owner" is not in the list (Through web repository, Through CSDMS repository) of allowed values for the "Source code availability" property.
Source web address
Source csdms web address
Program license type Other
Program license type other
Memory requirements
Typical run time it takes less than a minite to run the serial model for one with daily time interval


In/Output

Describe input parameters Upper Boundary (Air temperature)

Lower Boundary (Temperature gradient) Initial conditions (Temperature distribution at initial time) Thermo-physical properties

Input format ASCII
Other input format
Describe output parameters Temperature distribution with depth

Active Layer Depth Freezing/Thawing day

Output format ASCII
Other output format netcdf, GIS
Pre-processing software needed? Yes
Describe pre-processing software For spatial case one can developed its own pre-processing in order to put the input dataset in the format readable for GIPL.
Post-processing software needed? Yes
Describe post-processing software To generate netcdf or GIS outputs one can write its own converter for that.
Visualization software needed? Yes
If above answer is yes ESRI, Matlab
Other visualization software Matlab, Microsoft Excel (for serial); Matlab, ARCGIS, ncview (for spatial model)


Process

Describe processes represented by the model Main purpose of the model is to calculate subsurface temperature profile, active layer depth and freeze-up day.
Describe key physical parameters and equations Thermal capacities and conductivities prescribed for each subsurface layer, volumetric water content and unfrozen water coefficients.
Describe length scale and resolution constraints
Describe time scale and resolution constraints
Describe any numerical limitations and issues


Testing

Describe available calibration data sets We have tested the model for different permafrost observation sites for Alaska(USA) and Siberia(Russia). Typically, the model results show good correlation with measured data (if observations are accurate).
Upload calibration data sets if available: Media:Sample.zip
Describe available test data sets
Upload test data sets if available:
Describe ideal data for testing


Other

Do you have current or future plans for collaborating with other researchers?
Is there a manual available? No
Upload manual if available:
Model website if any
Model forum / discussion board
Comments


Introduction

GIPL(Geophysical Institute Permafrost Laboratory) is an implicit finite difference one-dimensional heat flow numerical model. The model was developed by V.Romanovsky and G. Tipenko at University of Alaska Fairbanks. The model uses coarse vertical resolution grid which preserves the latent-heat effects in the phase transition zone, even under conditions of rapid or abrupt changes in the temperature fields. The air temperature is a driving force for the GIPL upper boundary condition and constant geothermal heat flux at the lower boundary (typically from 500 to 1000 m). The other inputs are precipitation, prescribed water content and thermal properties of the multilayered soil column. As an output the model produces temperature distributions at different depths, active layer thickness and calculates time of freeze up.

History

Papers

Issues

Help

Input Files

There are 6 input files.

input.txt contains input parameters and input points. thermo.txt contains thermal and unfrozen water properties. grid.txt contains used for calculations grid. bound.txt includes upper boundary temperatures, which are usually air temperature. snow.txt and rsnow.txt contains snow depth and conductivity.

Output Files

The are two main output files.

results.txt contains results which are depend on time step prescribed by user in input.txt file (usually timestep = 1 day).

mean.txt contains results which are depend on mean time step, also assigned in input.txt

Download

Source